Udemy - Modern Deep Learning in Python [TP]

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[Tutorialsplanet.NET] Udemy - Modern Deep Learning in Python 1. Introduction and Outline
  • 1. Introduction and Outline-en_US.srt (12.0 KB)
  • 1. Introduction and Outline.mp4 (51.8 MB)
  • 2. External URLs.txt (0.1 KB)
  • 2. Where to get the Code-en_US.srt (7.1 KB)
  • 2. Where to get the Code.mp4 (16.6 MB)
  • 3. How to Succeed in this Course-en_US.srt (7.9 KB)
  • 3. How to Succeed in this Course.mp4 (46.5 MB)
10. Transition to the 2nd Half of the Course
  • 1. Transition to the 2nd Half of the Course-en_US.srt (6.4 KB)
  • 1. Transition to the 2nd Half of the Course.mp4 (13.0 MB)
11. Project Facial Expression Recognition
  • 1. Facial Expression Recognition Project Introduction-en_US.srt (6.4 KB)
  • 1. Facial Expression Recognition Project Introduction.mp4 (12.7 MB)
  • 2. Facial Expression Recognition Problem Description-en_US.srt (14.8 KB)
  • 2. Facial Expression Recognition Problem Description.mp4 (33.8 MB)
  • 3. The class imbalance problem-en_US.srt (7.4 KB)
  • 3. The class imbalance problem.mp4 (15.7 MB)
  • 4. Utilities walkthrough-en_US.srt (5.4 KB)
  • 4. Utilities walkthrough.mp4 (26.1 MB)
  • 5. Class-Based ANN in Theano-en_US.srt (14.9 KB)
  • 5. Class-Based ANN in Theano.mp4 (96.2 MB)
  • 6. Class-Based ANN in TensorFlow-en_US.srt (12.0 KB)
  • 6. Class-Based ANN in TensorFlow.mp4 (97.1 MB)
  • 7. Facial Expression Recognition Project Summary-en_US.srt (1.7 KB)
  • 7. Facial Expression Recognition Project Summary.mp4 (3.8 MB)
12. Modern Regularization Techniques
  • 1. Modern Regularization Techniques Section Introduction-en_US.srt (2.9 KB)
  • 1. Modern Regularization Techniques Section Introduction.mp4 (8.0 MB)
  • 2. Dropout Regularization-en_US.srt (14.1 KB)
  • 2. Dropout Regularization.mp4 (48.8 MB)
  • 3. Dropout Intuition-en_US.srt (4.4 KB)
  • 3. Dropout Intuition.mp4 (9.1 MB)
  • 4. Noise Injection-en_US.srt (6.7 KB)
  • 4. Noise Injection.mp4 (14.6 MB)
  • 5. Modern Regularization Techniques Section Summary-en_US.srt (2.6 KB)
  • 5. Modern Regularization Techniques Section Summary.mp4 (5.3 MB)
13. Batch Normalization
  • 1. Batch Normalization Introduction-en_US.srt (2.4 KB)
  • 1. Batch Normalization Introduction.mp4 (3.5 MB)
  • 2. Exponentially-Smoothed Averages-en_US.srt (5.3 KB)
  • 2. Exponentially-Smoothed Averages.mp4 (8.3 MB)
  • 3. Batch Normalization Theory-en_US.srt (13.5 KB)
  • 3. Batch Normalization Theory.mp4 (53.8 MB)
  • 4. Batch Normalization Tensorflow (part 1)-en_US.srt (6.4 KB)
  • 4. Batch Normalization Tensorflow (part 1).mp4 (11.3 MB)
  • 5. Batch Normalization Tensorflow (part 2)-en_US.srt (6.3 KB)
  • 5. Batch Normalization Tensorflow (part 2).mp4 (66.5 MB)
  • 6. Batch Normalization Theano (part 1)-en_US.srt (5.2 KB)
  • 6. Batch Normalization Theano (part 1).mp4 (10.1 MB)
  • 7. Batch Normalization Theano (part 2)-en_US.srt (7.7 KB)
  • 7. Batch Normalization Theano (part 2).mp4 (76.3 MB)
  • 8. Noise Perspective-en_US.srt (2.3 KB)
  • 8. Noise Perspective.mp4 (3.3 MB)
  • 9. Batch Normalization Summary-en_US.srt (2.0 KB)
  • 9. Batch Normalization Summary.mp4 (3.0 MB)
14. Keras
  • 1. Keras Discussion-en_US.srt (8.8 KB)
  • 1. Keras Discussion.mp4 (15.3 MB)
  • 2. Keras in Code-en_US.srt (7.2 KB)
  • 2. Keras in Code.mp4 (49.2 MB)
  • 3. Keras Functional API-en_US.srt (5.0 KB)
  • 3. Keras Functional API.mp4 (29.1 MB)
  • 4. How to easily convert Keras into Tensorflow 2.0 code-en_US.srt (1.9 KB)
  • 4. How to easily convert Keras into Tensorflow 2.0 code.mp4 (6.2 MB)
  • [Tutorialsplanet.NET].url (0.1 KB)
15. PyTorch
  • 1. PyTorch Basics-en_US.srt (14.2 KB)
  • 1. PyTorch Basics.mp4 (83.9 MB)
  • 2. PyTorch Dropout-en_US.srt (3.0 KB)
  • 2. PyTorch Dropout.mp4 (35.8 MB)
  • 3. PyTorch Batch Norm-en_US.srt (2.9 KB)
  • 3. PyTorch Batch Norm.mp4 (36.8 MB)
16. PyTorch, CNTK, and MXNet
  • 1. PyTorch, CNTK, and MXNet-en_US.srt (1.0 KB)
  • 1. PyTorch, CNTK, and MXNet.mp4 (1.8 MB)
17. Deep Learning Review Topics
  • 1. What's the difference between neural networks and deep learning-en_US.srt (9.8 KB)
  • 1. What's the difference between neural networks and deep learning.mp4 (27.2 MB)
  • 2. Manually Choosing Learning Rate and Regularization Penalty-en_US.srt (5.3 KB)
  • 2. Manually Choosing Learning Rate and Regularization Penalty.mp4 (10.3 MB)
18. Setting Up Your Environment (FAQ by Student Request)
  • 1. Windows-Focused Environment Setup 2018-en_US.srt (19.0 KB)
  • 1. Windows-Focused Environment Setup 2018.mp4 (308.8 MB)
  • 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow-en_US.srt (13.6 KB)
  • 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 (192.0 MB)
19. Extra Help With Python Coding for Beginners (FAQ by Student Request)
  • 1. How to Code by Yourself (part 1)-en_US.srt (21.7 KB)
  • 1. How to Code by Yourself (part 1).mp4 (93.6 MB)
  • 2. How to Code by Yourself (part 2)-en_US.srt (12.8 KB)
  • 2. How to Code by Yourself (part 2).mp4 (29.3 MB)
  • 3. Proof that using Jupyter Notebook is the same as not using it-en_US.srt (13.5 KB)
  • 3. Proof that using Jupyter Notebook is the same as not using it.mp4 (108.5 MB)
  • 4. How to Uncompress a .tar.gz file-en_US.srt (3.8 KB)
  • 4. How to Uncompress a .tar.gz file.mp4 (6.4 MB)
  • 5. Python 2 vs Python 3-en_US.srt (5.8 KB)
  • 5. Python 2 vs Python 3.mp4 (10.4 MB)
  • [Tutorialsplanet.NET].url (0.1 KB)
2. Review
  • 1. Review (pt 1) Neuron Predictions-en_US.srt (17.1 KB)
  • 1. Review (pt 1) Neuron Predictions.mp4 (40.5 MB)
  • 2. Review (pt 2) Neuron Learning-en_US.srt (11.7 KB)
  • 2. Review (pt 2) Neuron Learning.mp4 (22.2 MB)
  • 3. Review (pt 3) Artificial Neural Networks-en_US.srt (14.5 KB)

Description

Udemy - Modern Deep Learning in Python [TP]

Build with modern libraries like Tensorflow, Theano, Keras, PyTorch, CNTK, MXNet. Train faster with GPU on AWS.
What you'll learn
Apply momentum to backpropagation to train neural networks
Apply adaptive learning rate procedures like AdaGrad, RMSprop, and Adam to backpropagation to train neural networks
Understand the basic building blocks of Theano
Build a neural network in Theano
Understand the basic building blocks of TensorFlow
Build a neural network in TensorFlow
For more Udemy Courses: https://tutorialsplanet.net



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Udemy - Modern Deep Learning in Python [TP]

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3.7 GB
seeders:6
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Udemy - Modern Deep Learning in Python [TP]

Torrent hash: B989193FD26D74402C4BF794B1B53CF3AE1B3FFA